Borrowing it
Nothing to install: this file belongs to janmarkuslanger/learn-with-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/janmarkuslanger/learn-with-ai/main/.claude/commands/review.mdgit clone --depth 1 https://github.com/janmarkuslanger/learn-with-aiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/janmarkuslanger/learn-with-ai/review)<a href="https://agentmods.dev/commands/janmarkuslanger/learn-with-ai/review"><img src="https://agentmods.dev/badge/commands/janmarkuslanger/learn-with-ai/review.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00085 |
| Opus 5 | $0.00000 | $0.00043 |
| Sonnet 5 | $0.00000 | $0.00017 |
| Haiku 4.5 | $0.00000 | $0.00009 |
Grade A, and why
review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/review — Spaced review session
Read AGENTS.md in the repo root and run a review exactly as defined in § Review session:
overdue SRS topics first, mandatory gaps included, 3–5 rephrased retrieval questions,
then all SRS/gap/tracker updates per § After each session.
AGENTS.md is the single source of truth — this command only triggers it.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 8 lines · 0 tokens per session scan A bb23f2e09dc3
review is a command published in the GitHub repository janmarkuslanger/learn-with-ai (5 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 85 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
review
Cold re-quiz on code that already shipped — your own session commits, not the change in front of you.
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Deep dive analysis of ISO 27001 Annex A control domains with implementation guidance.
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start-13-4.en
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start-0-8
A Japanese-language command that displays the current project setup progress.